An Architecture for Context-Aware Knowledge Flow Management Systems

TL;DR

This paper proposes an architecture for context-aware knowledge flow management systems, aiming to enhance the dynamic flow and control of organizational knowledge to improve quality and meet user needs.

Contribution

It introduces a novel architecture and a new node selection strategy that outperforms previous methods in managing knowledge flow effectively.

Findings

The new node selection strategy has a higher success rate.

The architecture improves knowledge flow control and quality.

Enhanced adaptability to user needs in knowledge management.

Abstract

The organizational knowledge is one of the most important and valuable assets of organizations. In such environment, organizations with broad, specialized and up-to-date knowledge, adequately using knowledge resources, will be more successful than their competitors. For effective use of knowledge, dynamic knowledge flow from the sources to destinations is essential. In this regard, a novel complex concept in knowledge management is the analysis, design and implementation of knowledge flow management systems. One of the major challenges in such systems is to explore the knowledge flow from the source to the recipient and control the flow for quality improvements concerning the users' needs as possible. Therefore, the purpose of this paper is to provide an architecture in order to solve this challenge. For this purpose, in addition to the architecture for knowledge flow management systems, a new node selection strategy is provided with higher success rate compared to previous strategies.